Book Image

R Data Science Essentials

Book Image

R Data Science Essentials

Overview of this book

With organizations increasingly embedding data science across their enterprise and with management becoming more data-driven it is an urgent requirement for analysts and managers to understand the key concept of data science. The data science concepts discussed in this book will help you make key decisions and solve the complex problems you will inevitably face in this new world. R Data Science Essentials will introduce you to various important concepts in the field of data science using R. We start by reading data from multiple sources, then move on to processing the data, extracting hidden patterns, building predictive and forecasting models, building a recommendation engine, and communicating to the user through stunning visualizations and dashboards. By the end of this book, you will have an understanding of some very important techniques in data science, be able to implement them using R, understand and interpret the outcomes, and know how they helps businesses make a decision.
Table of Contents (15 chapters)
R Data Science Essentials
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Control structures in R


We have covered the different operations that are available in R. Now, let's look at the control structures used in R. Control structures are the key elements of any programming language.

The control structures commonly used in R are as follows:

  • if, else: This is used to test a condition and execute based on the condition

  • for: This is used to execute a loop for a fixed number of iterations

  • while: This is used to execute a loop while a condition is true

  • repeat: This is used to execute a loop indefinitely until seeking a break

  • break: This is used to break the execution of a loop

  • next: This is used to skip an iteration of a loop

  • return: This is used to exit a function

Control structures – if and else

The if and else control structures are used to execute based on a condition, where it performs the function when the condition is satisfied and performs an alternate function when the condition fails. (The else clause is not mandatory.) We can implement nested conditions as well in R.

if(<condition>) { 
## do something 
} else { 
## do something else 
}

Control structures – for

The for loop is used to execute repetitive code statements for a definite number of iterations. The for loops are commonly used to iterate over the element of an object (list, vector, and so on).

for(i in 1:10) { 
print(i) 
}

Control structures – while

The while loops are used to evaluate a condition repetitively. If the condition is true, then the expression in the loop body is executed until the condition becomes false.

count<-0 
while(count<10) { 
print(count) 
count<-count+1 
}

Control structures – repeat and break

The repeat statement executes an expression in the loop repeatedly until it encounters a break.

The break statement can be used to terminate any loop. It is the only way to terminate a repeat loop.

> sum <- 1
> repeat
{
sum <- sum + 2;
print(sum);
if (sum > 11)
break;
}
3
5
7
9
11
13

Control structures – next and return

The next control structure is used to skip a particular iteration in a loop based on a condition.

The return control structure signals that a function should exit a function and return a given value.

for(i in 1:5) { 
if(i<=3) { 
next 
} 
print(i) 
}
[1] 4
[1] 5